Exam scheduling under pandemic conditions: A mathematical model and decision support system

Zehra Kamisli Ozturk, Huseyin Sercan Gundogan, Emre Mumyakmaz and Tugra Kececioglu

Technological Forecasting and Social Change, 2024, vol. 208, issue C

Abstract: The scheduling of university exams is a complex task that involves various constraints such as administrative limits, pedagogical needs, student volume, and different courses. The emergence of Covid-19 and future pandemics has added new constraints related to infection prevention and contact tracing. To address these challenges, this study proposes a multi-objective mathematical model that considers university resources, reduced classroom occupancy, and minimized student interaction. The model aims to minimize violations of pandemic-related constraints and categorize exams by difficulty. To facilitate scheduling for entire faculties or universities, a Genetic Algorithm based web-based decision support system is developed. With these tools, the study successfully created an optimal schedule for eight departments simultaneously.

Keywords: University Exam Scheduling; Pandemic; Covid-19; Optimization; K-Means; Decision Support System (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:208:y:2024:i:c:s0040162524004852

DOI: 10.1016/j.techfore.2024.123687

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